Forward Deployed Engineer
Raydar
Forward Deployed Engineer
Raydar
AI-powered recruiting agency for tech roles
Raydar · New York, United States · Full-time · Posted 2026-09-19
Salary: USD 155,000–225,000
Workplace: on_site
About the company
Our client is a financial technology startup developing AI-powered customer operations software. Its implementation team brings enterprise customers onto the platform and helps them reach production successfully.
The role
Raydar is recruiting for this role on behalf of our client. Own customer implementations as a Forward Deployed Engineer. You will combine production engineering with direct client communication and take responsibility for launch outcomes.
What you'll do
- Gather enterprise requirements and lead implementation discussions.
- Build and configure AI-agent solutions of varying technical complexity.
- Troubleshoot customer scenarios and implement fixes.
- Launch customers and support outcomes during the first month.
- Own the ongoing technical relationship and translate customer problems into scalable solutions.
What we're looking for
- 2 to 10 years of relevant software, solutions, or forward-deployed engineering experience.
- Experience shipping products in production.
- Strong system design and architecture skills.
- A university degree; computer science is preferred.
- Clear professional English communication and enthusiasm for customer-facing work.
- US work authorization or eligibility for a supported visa transfer.
Bonus points
- Experience with Node.js, TypeScript, React, AWS, SQL, or LLMs.
- Experience or interest in voice AI.
- Forward-deployed experience in a fast-growing company.
Compensation and benefits
- Base salary: USD 155,000 to 225,000 per year.
- Equity: 0.1-0.7%.
Location and work model
- New York, New York, United States.
- Onsite role; a weekly office-day count is not specified.
- Visa transfers are supported.
Powered by Workable
Raydar is an AI-powered talent acquisition firm that serves tech-focused organizations on a contingency basis, charging client companies only after a successful hire. It uses proprietary AI to identify a large pool of candidates and conducts a short 15-minute AI-driven interview (recorded and transcribed) before human recruiters review materials, provide interview prep, and assist with offers and negotiations. What sets it apart is the blend of automated sourcing and screening with hands-on human oversight and tailored client support. Its goal is to help organizations hire more efficiently by speeding up sourcing while maintaining thorough evaluation and negotiation assistance.
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